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Haptoglobin alpha-subunit and hepatocyte growth factor can potentially serve as serum tumor biomarkers in small cell lung cancer.

BACKGROUND: Small cell lung cancer (SCLC) frequently presents as metastatic disease. It would be useful to detect serum tumor biomarkers at an earlier stage in order to improve the overall survival. MATERIALS AND METHODS: Serum samples from SCLC patients (6 limited disease, 7 extensive disease, 4 relapsed disease, 4 no evidence of disease post-treatment) and 5 normal controls were used to identify tumor biomarkers utilizing proteomics. Serum hepatocyte growth factor was also studied using standard ELISA. RESULTS: Utilizing MALDI-TOF-Mass Spectrometry (MS) based protein identification techniques, a SCLC specific overexpressed protein was identified to be haptoglobin alpha-subunit, with its serum level correlating with the disease stage. The mean level of alpha-haptoglobin was increased in SCLC serum as compared to the normal controls. Serum HGF was also studied as potential tumor biomarker and was found to correlate with the disease status. Either serum alpha-haptoglobin relative level (above 1.9 U), or HGF level (above 500 pg/ml) was associated with a trend towards worse survival. CONCLUSION: Our current findings suggest that serum levels of alpha-haptoglobin and HGF may serve as useful serum tumor biomarkers in SCLC. It would now also be useful to determine if these serum biomarkers are altered in response to therapy for this disease.

Biomarkers, Tumor↗

The role of tumor biomarkers as predictors of serum PSA recurrence after radical prostatectomy.

Tumor biomarkers (p53, bcl-2, Ki-67, and RT-PCR) were reviewed in the literature for their ability to predict prostate-specific antigen (PSA) biological recurrence after radical prostatectomy. All of them are strongly associated with PSA recurrence on univariate analysis. p53 seems to be better than current predictors, such as stage, grade, and positive surgical margins on multivariable analysis; further studies need to confirm bcl-2 and Ki-67 as better predictors of PSA recurrence. However, most of these studies were performed on radical prostatectomy specimens and will need to be confirmed on the preoperative prostate biopsy. The RT-PCR assay was strongly correlated with PSA recurrence and was one of the two best preoperative PSA recurrence predictors with serum PSA.

Biomarkers, Tumor↗

Expression of estrogen receptor-related receptors, a subfamily of orphan nuclear receptors, as new tumor biomarkers in ovarian cancer cells.

A subfamily of orphan receptors, estrogen receptor-related receptors (ERRs), has been demonstrated to modulate the transcription of some estrogen responsive genes via variant estrogen response elements (EREs). This study was conducted to determine whether human ERRalpha, ERRbeta, and ERRgamma might be involved in the tumorigenesis of ovarian cancer. RT-PCR was performed to analyze the expression of hERRalpha, hERRbeta, hERRbeta-2, and hERRgamma mRNA in five ovarian cancer cell lines as well as 33 samples of ovarian cancer and 12 samples of normal ovary. Serum CA-125 levels were also analyzed in all samples by ELISA. Progression-free survival and overall survival of patients with different expression of ERRs were analyzed by the Kaplan-Meier method. To analyze the subcellular localization of ERRalpha, a green fluorescent protein (GFP)-reporter plasmid of hERRalpha was constructed and transfected into the ovarian cancer cell line OVCAR-3. Expression of hERRalpha-GFP fusion protein was observed in the nucleus of OVCAR-3 ovarian cancer cell lines. We observed increased expression of hERRalpha mRNA (P = 0.020) and hERRgamma mRNA (P = 0.045) in ovarian cancers compared to normal ovaries. In contrast, hERRbeta was only observed in 9.1% of ovarian cancers. We found a positive correlation between the serum CA-125 levels and hERRalpha expression (P = 0.012), but not hERRbeta and hERRgamma expression. Survival analysis showed that the hERRalpha-positive group has a reduced overall survival (P = 0.015), and the ERRgamma-positive group has a longer progression-free survival (P = 0.020). In multivariate analysis, expression of hERRalpha was an independent prognostic factor for poor survival (relative risk, 3.032; 95% CI, 1.27-6.06). Based on our results, ERRs may play an important role in ovarian cancer. hERRalpha may represent a biomarker of poor prognosis, and hERRgamma may be a new therapeutic target in ovarian cancer.

Biomarkers, Tumor↗

Rapid discovery and identification of a tissue-specific tumor biomarker from 39 human cancer cell lines using the SELDI ProteinChip platform.

Useful biomarkers are needed for early detection of cancers. To demonstrate the potential diagnostic usefulness of a new proteomic technology, we performed Expression Difference Mapping analysis on 39 cancer cell lines from 9 different tissues using ProteinChip technology. A protein biomarker candidate of 12kDa was found in colon cancer cells. We then optimized the purification conditions for this biomarker by utilizing Retentate Chromatography mass spectrometry (RC-MS). The optimized purification conditions developed "on-chip" were directly transferred to conventional chromatography to purify the biomarker, which was identified as prothymosin-alpha by ProteinChip time-of-flight mass spectrometry (TOF MS) and ProteinChip-Tandem MS systems. The relative expression level of prothymosin-alpha between colon cancer cells and normal colon mucosal cells was evaluated on the same ProteinChip platform. Prothymosin-alpha expression in colon cancer cells was clearly higher than in normal colon cells. These results indicate that prothymosin-alpha could be a potential biomarker for colon cancer, and that the ProteinChip platform could perform the whole process of biomarker discovery from screening to evaluation of the identified marker.

Biomarkers, Tumor↗

Rapid and large-scale transition of new tumor biomarkers to clinical biopsy material by innovative tissue microarray systems.

A rapidly increasing number of studies are being published providing significant results by the use of tissue microarrays (TMAs), ie, paraffin blocks composed of multiple specimens. The numerous advantages of this technology are obvious and have thus stimulated many constructors to evolve and improve different technical approaches. With TMAs, multiple specimens can be simultaneously investigated with different in situ techniques under identical laboratory conditions, resulting in a dramatic time and cost reduction compared with conventional pathologic studies. Furthermore, this technology is less exhausting for the finite original donor material, allowing for a significantly increased number of assays per each case. Against the background of decoding the human genome and the widespread application of high-density cDNA microarrays, the next challenge will be to apply the genome discoveries to the clinical setting. For pathologists, TMAs represent an ideal adjunct and can be very useful for the rapid and high-throughput discovery and validation of countless candidate biomarkers, assessing their prognostic and predictive value and identifying further therapy targets. This article provides a review of different TMA technologies and addresses the technical aspects of their construction and their validity in different applications through data from the literature along with the authors' own experiences.

Biomarkers, Tumor↗

[Exposure to asbestos and levels of selected tumor biomarkers].

Occupational exposure to asbestos, a recognised carcinogen, poses a risk for such diseases as asbestosis, lung cancer and mesothelioma. It is thought that asbestos fibres may damage microphages which undergo neoplastic transformation as well as fibroblast, while partial phagocytosis may generate free oxygenic radicals which induce cellular peroxidase and damage macromolecules. A search for cellular changes or changes in cellular metabolism products, present in biological fluids, in order to detect early stages of a neoplastic process is an important factor in the prophylaxis of workers exposed to asbestos. Neoplastic biomarkers such as tissue polypeptide antigen (TPA) or carcinoembryonic antigen (CEA) are now used for this purpose. The aim of the work was to identify workers exposed to asbestos in the population, especially high risk groups neoplastic diseases and to evaluate the usefulness of TPA and CEA determinations. The study covered a group of asbestos exposed workers (n = 4000 and the control group of workers (n = 135) nonexposed to any toxic factor at work. Age, exposure time, smoking habits and workpost characteristics were taken into consideration in the analysis of the results. It was revealed that in 38 persons exposed to asbestos, TPA values were above the concentration limit set on the basis of studies carried out in the control group, and elevated CEA values applied to 13 persons. Significant differences between groups under study were found in the proportion of pathological TPA values. Such a relationship was not observed in regard to CEA values. In the exposed group the results also indicated an evident effect of age and exposure time on the number of persons with TPA values above concentration limit. There is a growing tendency in those changes but only in regard to TPA values. The effect of smoking on the frequency of pathological TPA values was also clear-cut in workers exposed to asbestos. Taking into account three types of employment: blue collar workers, white collar workers and other personnel, the analysis indicated significant differences in TPA values between blue collar workers and other personnel; and between white collar workers and other personnel. This means a similar percentage of pathological TPA values in the group of blue collar and white collar workers. The study carried out allowed to identify persons exposed to asbestos who should be covered with targeted medical care. They also proved that TPA biomarker is better than CEA one for this kind of studies.

Adult↗

Human small breast epithelial mucin: the promise of a new breast tumor biomarker.

Breast cancer remains one of the most frequently diagnosed cancers today. In developed countries, one in eight women is expected to present with breast cancer within her lifetime and an estimated 1,000,000 cases are detected each year worldwide (Canadian Cancer Statistics, http://www.cancer.ca/vgn/images/ portal/cit_86751114/14/33/1959864 11niw_stats2004_en.pdf). For women with recurrent disease, the median time of survival is about 2 years. Despite optimal surgery, adjuvant irradiation, hormonal treatment, and chemotherapy, approximately 30% of patients with localized breast cancer finally develop distant metastases. Early detection, which enables intervention at a localized and potentially curable stage, remains a central goal in breast cancer treatment. Indeed, the 5-year survival rate for women with breast cancer has been shown to increase dramatically when the disease is diagnosed at an early stage: from less than 25% in women with disseminated cancer to about 75% in patients with regional disease and over 95% in women with a localized tumor (Breast Cancer Facts and Figures, 2001-2002, http://www.cancer.org/downloads/STT/BrCaFF 2001.pdf). Unfortunately, only 60% of all breast cancers are diagnosed at a local stage. Any improvement in early detection through identification of tumor biomarkers would have a significant impact on reducing overall breast cancer mortality.

Biomarkers, Tumor↗

Quality control for biomarker determination in oncology: the experience of the Italian Network for Quality Assessment of Tumor Biomarkers (INQAT).

Biomarker analysis and evaluation in oncology is the product of a number of processes (including managerial, technical and interpretation steps) which need to be monitored and controlled to prevent and correct errors and guarantee a satisfactory level of quality. Several biomarkers have recently moved to clinical validation studies and successively to clinical practice without any definition of standard procedures and/or quality control (QC) schemes necessary to guarantee the reproducibility of the laboratory information. In Italy several national scientific societies and single researchers have activated -- often on a pilot level -- specific external quality assessment protocols, thereby potentially jeopardizing the clinical reality even further. In view of the seriousness of the problem, in 1998 the Italian Ministry of Health sponsored a National Survey Project to coordinate and standardize the procedures and to develop QC programs for the analysis of cancer biomarkers of potential clinical relevance. Twelve QC programs focused on biomarkers and concerning morphological, immunohistochemical, biochemical, molecular, and immunoenzymatic assays were coordinated and implemented. Specifically, external QC programs for the analytical phase of immunohistochemical p53, Bcl-2, c-erb-2/neu/HER2, and microvessel density determination, of morphological evaluation of tumor differentiation grade, and of molecular p53 analysis were activated for the first time within the project. Several hundreds of Italian laboratories took part in these QC programs, the results of which are available on the web site of the Network (www.cqlaboncologico.it). Financial support from the Italian Government and the National Research Council (CNR) will guarantee the pursuit of activities that will be extended to new biomarkers, to preanalytical phases of the assays, and to revision of the criteria of clinical usefulness for evaluating the cost/benefit ratio.

Autoradiography↗

Circulating tumor cells and serum tumor biomarkers in small cell lung cancer.

Lung cancer accounts for approximately 30% of all cancer mortalities in the United States. Small cell lung cancer (SCLC), which is an aggressive malignancy with frequent and early metastases, accounts for about 15% of all of the lung cancer cases with a dismal 5-year survival rate of < 5% with current standard therapies. Early detection of SCLC is challenging, in part due to the lack of adequate serum tumor markers. The goal of this review is to summarize the current knowledge of circulating tumor cells and serum biomarkers in small cell lung cancer. The role of circulating tumor cells in prognostication is controversial, but may be better defined with advancing technologies of detection of such cells with higher precision, and improved clinico-pathological correlations. The current knowledge on the known serum cytokines and tumor biomarkers of SCLC, such as CEA, chromogranin-A and neuron-specific enolase will be presented. Serum cytokines, such as vascular endothelial growth factor (VEGF), stem cell factor (SCF) and hepatocyte growth factor/scatter factor (HGF/SF) are also discussed. New findings in the search for novel diagnostic and therapeutic molecular markers using the emerging genomics and proteomics technologies are emphasized. It is our hope that validation of these new research platforms and technologies will result in improved early detection, prognostication and finally treatment of SCLC with potential novel molecularly-targeted therapeutics.

Biomarkers, Tumor↗

C35 (C17orf37) is a novel tumor biomarker abundantly expressed in breast cancer.

Identification of shared tumor-specific targets is useful in developing broadly applicable therapies. In a study designed to identify genes up-regulated in breast cancer, a cDNA clone corresponding to a novel gene C35 (C17orf37) was selected by representational difference analysis of tumor and normal human mammary cell lines. Abundant expression of C35 transcript in tumors was confirmed by Northern blot and real-time PCR. The C35 gene is located on chromosome 17q12, 505 nucleotides from the 3' end of the ERBB2 oncogene, the antigenic target for trastuzumab (Herceptin) therapy. The chromosomal arrangement of the genes encoding C35 and ERBB2 is tail to tail. An open reading frame encodes a 12-kDa protein of unknown function. Immunohistochemical analysis detected robust and frequent expression of C35 protein, including 32% of grade 1 and 66% of grades 2 and 3 infiltrating ductal carcinomas of the breast (in contrast to 20% overexpressing HER-2/neu), 38% of infiltrating lobular carcinoma (typically HER-2/neu negative), as well as tumors arising in other tissues. C35 was not detected in 38 different normal human tissues, except Leydig cells in the testes and trace levels in a small percentage of normal breast tissue samples. The distinct and favorable expression profile of C35 spanning early through late stages of disease, including high frequency of overexpression in various breast carcinoma, abundant expression in distant metastases, and either absence or low level expression in normal human tissues, warrants further investigation of the relevance of C35 as a biomarker and/or a target for development of broadly applicable cancer-specific therapies.

Amino Acid Sequence↗

[Biomarkers, tumor markers and prognostic markers in breast cancer].

Biomarkers are measured in the management of breast cancer patients for the following purposes: (1) early detection, (2) monitoring of advanced breast cancer patients, (3) prediction of prognosis, and (4) prediction of therapeutic response. Summarized results investigated by the Study Group of the Japanese Breast Cancer Society in 2001 concerning the present status of tumor marker measurement in Japan and usefulness of tumor markers for the evaluation for therapeutic response are presented. Significance of two prognostic markers, vessel invasion and HER2 status were discussed at the 9th St Gallen International Consensus Meeting in 2005. Current status, clinical significance, problems and future directions on predictive markers for response to endocrine therapy and cytotoxic chemotherapy are also discussed.

Biomarkers↗

Serum sErbB1 and epidermal growth factor levels as tumor biomarkers in women with stage III or IV epithelial ovarian cancer.

Epithelial ovarian cancer (EOC) has a high mortality rate, which is due primarily to the fact that early clinical symptoms are vague and nonspecific; hence, this disease often goes undetected and untreated until in its advanced stages. Sensitive and reliable methods for detecting earlier stages of EOC are, therefore, urgently needed. Epidermal growth factor (EGF) is a ligand for EGF receptor (ErbB1); this receptor is the product of the c-erbB1 proto-oncogene. ErbB1 overexpression is common in human ovarian carcinoma-derived cell lines and tumors, in which overexpression is thought to play a critical role in tumor etiology and progression. Furthermore, ErbB1 overexpression is associated with disease recurrence and decreased patient survival. Recently, we have developed an acridinium-linked immunosorbent assay that detects a approximately 110-kDa soluble analogue of ErbB1, ie., sErbB1, in serum samples from healthy men and women (A. T. Baron, et al., J. Immunol. Methods, 219: 23-43, 1998). Here, we demonstrate that serum p110 sErbB1 levels are significantly lower in EOC patients with stage III or IV disease prior to (P < 0.0001) and shortly after (P < 0.0001) cytoreductive staging laparotomy than in healthy women of similar ages, whereas EGF levels are significantly higher than those of age-matched healthy women only in serum samples collected shortly after tumor debulking surgery (P < 0.0001). We observe that the preoperative serum sErbB1 concentration range of advanced stage EOC patients barely overlaps with the serum sErbB1 concentration range of healthy women. In addition, we show that serum sErbB1 and EGF levels changed temporally for some EOC patients who were surgically debulked of tumor and who provided a second serum sample during the course of combination chemotherapy. Finally, we observe a significant positive association between sErbB1 and EGF levels only in serum samples of EOC patients collected prior to cytoreductive surgery (correlation coefficient = 0.61968; P = 0.0027). These data suggest that epithelial ovarian tumors concomitantly affect serum sErbB1 and EGF levels. In conclusion, these data indicate that serum sErbB1 and EGF (postoperative only) levels are significantly different between EOC patients and healthy women and that altered and/or changing serum sErbB1 and EGF levels may provide important diagnostic and/or prognostic information useful for the management of patients with EOC.

Acridines↗

Sensitive immunoassay of a biomarker tumor necrosis factor-alpha based on poly(guanine)-functionalized silica nanoparticle label.

A novel electrochemical immunosensor for the detection of tumor necrosis factor-alpha (TNF-alpha) based on poly(guanine)-functionalized silica nanoparticles (NPs) label is presented. The detection of mouse TNF-alpha via immunological reaction is based on a dual signal amplification: (1) a large amount of guanine residues introduced on the electrode surface through sandwich immunoreaction and poly(guanine)-functionalized silica NP label; (2) Ru(bpy)3(2+)-induced catalytic oxidation of guanine, which results in great enhancement of anodic current. The synthesized silica NP conjugates were characterized with atomic force microscopy, X-ray photoelectron spectroscopy, and electrochemistry. These experiments confirmed that poly(guanine) and avidin were immobilized on the surface of silica NPs. The performance of the electrochemical immunosensor was evaluated and some experiment parameters (e.g., concentration of Ru(bpy)3(2+), incubation time of TNF-alpha, etc.) were optimized. The detection limit for TNF-alpha is found to be 5.0 x 10(-11) g mL(-1) (2.0 pM), which corresponds to 60 amol of TNF-alpha in 30 microL of sample. This immunosensor based on the poly(guanine)-functionalized silica NP label offers great promise for rapid, simple, cost-effective analysis of biological samples.

Animals↗

AZU-1: a candidate breast tumor suppressor and biomarker for tumor progression.

To identify genes misregulated in the final stages of breast carcinogenesis, we performed differential display to compare the gene expression patterns of the human tumorigenic mammary epithelial cells, HMT-3522-T4-2, with those of their immediate premalignant progenitors, HMT-3522-S2. We identified a novel gene, called anti-zuai-1 (AZU-1), that was abundantly expressed in non- and premalignant cells and tissues but was appreciably reduced in breast tumor cell types and in primary tumors. The AZU-1 gene encodes an acidic 571-amino-acid protein containing at least two structurally distinct domains with potential protein-binding functions: an N-terminal serine and proline-rich domain with a predicted immunoglobulin-like fold and a C-terminal coiled-coil domain. In HMT-3522 cells, the bulk of AZU-1 protein resided in a detergent-extractable cytoplasmic pool and was present at much lower levels in tumorigenic T4-2 cells than in their nonmalignant counterparts. Reversion of the tumorigenic phenotype of T4-2 cells, by means described previously, was accompanied by the up-regulation of AZU-1. In addition, reexpression of AZU-1 in T4-2 cells, using viral vectors, was sufficient to reduce their malignant phenotype substantially, both in culture and in vivo. These results indicate that AZU-1 is a candidate breast tumor suppressor that may exert its effects by promoting correct tissue morphogenesis.

Amino Acid Sequence↗

Erlotinib antitumor activity in non-small cell lung cancer models is independent of HER1 and HER2 overexpression.

BACKGROUND: The human epidermal growth factor receptors HER1/EGFR and HER2 offer potential targets for treating non-small cell lung cancer (NSCLC). The antitumor efficacy of erlotinib (Tarceva, F. Hoffmann-La Roche, Ltd., Basel, Switzerland), a HER1/EGFR tyrosine-kinase inhibitor, was investigated in relation to HER1/EGFR and HER2 expression in five NSCLC xenograft models. MATERIALS AND METHODS: Tumor-bearing mice were randomized to daily oral erlotinib, 50 mg/kg, or vehicle (controls) for 20-50 days. The antitumor efficacy of erlotinib was measured through tumor volume, serum tumor markers and tumor biomarkers. Tumor HER1/EGFR and HER2 expression were analyzed immunohistochemically. RESULTS: Erlotinib reduced tumor volume in three NSCLC models. It also reduced serum tumor marker levels and the extent of inhibition correlated with tumor growth inhibition. HER1/EGFR and HER2 expression differed between the five tumor models, suggesting that expression level does not predict response to treatment. CONCLUSION: Erlotinib showed differing antitumor activity in five NSCLC models, suggesting that its antitumor effect is independent of HER1/EGFR and HER2 overexpression.

Animals↗

Modulation by budesonide of DNA methylation and mRNA expression in mouse lung tumors.

Biomarkers are being developed that can aid in the evaluation of cancer therapeutic and chemopreventive drugs. Two suggested biomarkers found in mouse lung tumors are DNA hypomethylation and alterations in mRNA expression of genes, such as 18S RNA, caspase 3, cyclin B2, cyclin E1, iNOS and survivin. Budesonide is very efficacious in preventing lung tumors in mice, so that its ability to modulate biomarkers in lung tumors was determined. Lung tumors were induced by vinyl carbamate in female strain A/J mice. Budesonide (2.0 mg/kg diet) was administered for 2, 7 and 21 days or for 14 days followed by a 7-days' holding period prior to the killing of the mice at week 27. After 2 days of budesonide treatment, the size of the lung tumors was reduced. Tumor size continued to decrease during the 21 days of treatment. In the tumors, 2 days of treatment resulted in (i) increased methylation of DNA, reversing DNA hypomethylation, (ii) increased expression of 18S RNA and (iii) decreased mRNA expression of caspase 3, cyclin B2, cyclin E1, iNOS and survivin. Termination of budesonide treatment at 7 days prior to killing did not affect the size of the tumors, but did result in increased mRNA expression of the 5 genes, approaching the expression level in tumors from control mice. Hence, budesonide rapidly decreased the size of lung tumors, reversed DNA hypomethylation and modulated mRNA expression of genes; with the molecular alterations requiring continued treatment with the drug for maintenance.

Animals↗

Proteome analysis for the identification of tumor-associated biomarkers in gastrointestinal cancer.

Gastrointestinal cancers are usually diagnosed at advanced stages, making a curative treatment difficult. Biomarkers can help to overcome this problem by allowing earlier diagnosis, and thus better therapy. Proteomics tools are novel technologies to identify such biomarkers. This review summarizes advances in biomarker detection using two-dimensional gel electrophoresis (2D-PAGE), chromatography and mass spectrometry technologies. 2D-PAGE combined with mass spectrometry has led to the identification of several differentially expressed proteins in cancer tissue. However, for serum analysis, 2D-PAGE has severe limitations. For serum-based cancer diagnosis, surface-enhanced laser desorption-ionization time-of-flight (SELDI-TOF) mass spectrometry is a promising new technology. The potential of proteins identified with this technology as novel cancer biomarkers still needs to be confirmed in clinical trials.

Biomarkers, Tumor↗